Unite.AI

SEPTEMBER 20, 2024

The emergence of machine learning and Natural Language Processing (NLP) in the 1990s led to a pivotal shift in AI. Financial institutions began using these technologies to develop more dynamic models capable of analyzing large datasets and discovering patterns that human analysts might miss.

Machine Learning 130

Machine Learning Large Language Models NLP Automation 130

Marktechpost

JULY 22, 2024

Authorship Verification (AV) is critical in natural language processing (NLP), determining whether two texts share the same authorship. Current AV models focus mainly on binary classification, which often lacks transparency. This lack of explainability is a gap in academic interest and a practical concern.

Explainability 103

Explainability BERT Large Language Models Deep Learning 103

IBM Journey to AI blog

AUGUST 11, 2023

Generative AI is a type of deep-learning model that takes raw data, processes it and “learns” to generate probable outputs. In other words, the AI model uses a simplified representation of the training data to create a new work that’s similar, but not identical, to the original data.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

IBM Journey to AI blog

JULY 6, 2023

Machine learning engineers can specialize in natural language processing and computer vision, become software engineers focused on machine learning and more. to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Dlabs.ai

JULY 25, 2023

Pymetrics : Uses neuroscience games and AI to match candidates’ cognitive and emotional traits to job requirements. TalVista : Uses natural language processing to scan resumes and job descriptions to rank algorithmically and shortlist candidates that best fit the job qualifications. Document your selection process.

Automation 98

Automation Machine Learning Algorithm Explainability 98

NVIDIA

DECEMBER 13, 2023

Financial Services Firms Embrace AI for Identity Verification The financial services industry is developing AI for identity verification. The output of this can be used for models like XGBoost, GNNs or techniques for clustering, offering better results when deployed for inference.

Explainability 106

Explainability Neural Network Computer Vision Generative AI 106

Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

Machine Learning 52

Machine Learning IDP AI AI 52

Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence. is a significant benchmark dataset in computer vision and natural language processing. or Visual Question Answering version 2.0,

Computer Vision 52

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 52

How to Learn Machine Learning

JANUARY 21, 2023

Advances in machine learning and deep learning techniques are making AI systems increasingly accurate and efficient. Moreover, advancements in Natural Language Processing (NLP) are allowing AI-powered systems to understand human speech and interact in more natural ways.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Robotics Natural Language Processing 52

Viso.ai

JULY 9, 2024

Understanding Generative AI Generative AI refers to the class of AI models capable of generating new content depending on an input. Text-to-image for example, refers to the ability of the model to generate images from a text prompt. Text-to-text models can produce text output based on a text prompt.

Generative AI 52

Generative AI Neural Network Convolutional Neural Networks AI 52

Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

Data Scientist 52

Data Scientist LLM Chatbots AI 52

Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

Data Scientist 52

Data Scientist AI AI Chatbots 52

Viso.ai

MARCH 26, 2024

This has the potential to revolutionize many processes by accelerating processing times while improving accuracy and security. Real-world applications range from automating loan approvals to processing insurance claims. In turn, these models are typically developed using frameworks like TensorFlow and Keras.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Heartbeat

SEPTEMBER 7, 2023

Let’s start by understanding why transparency in AI is not just an option but a necessity in today’s world. The Need for Model Interpretability and Explainability In the age of AI, models impact our lives in countless ways. Consider healthcare, where AI models are being used for disease diagnosis.

Explainability 52

Explainability Machine Learning Data Scientist Deep Learning 52

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Scale AI combines human annotators and machine learning algorithms to deliver efficient and reliable annotations for your team.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Marktechpost

JULY 11, 2023

Auto-GPT, the free-of-cost and open-source in nature Python application, uses GPT-4 technology. Stacking is an approach that lets AI models use other models as tools or mediums to accomplish a task. AutoGPT uses the concept of stacking to recursively call itself. AutoGPT using this method and with the help of both GPT 3.5

Auto-complete 40

Auto-complete Generative AI Large Language Models OpenAI 40

IBM Journey to AI blog

SEPTEMBER 3, 2024

And while organizations are taking advantage of technological advancements such as generative AI , only 24% of gen AI initiatives are secured. This lack of security threatens to expose data and AI models to breaches, the global average cost of which is a whopping USD 4.88 Choose energy-efficient AI models or frameworks.

Explainability 215

Explainability AI AI Deep Learning 215

Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Key Takeaways Generative AI simplifies data insights, enabling actionable decision-making and enhancing data storytelling.

Explainable AI 52

Explainable AI Explainability ETL Automation 52

The MLOps Blog

AUGUST 11, 2023

OpenAI, on the other hand, has been at the forefront of advancements in generative AI models, such as GPT-3, which heavily rely on embeddings. Model Training : Embeddings enable neural networks to consume training data in formats that extract features from the data. Both these areas often demand large-scale model training.

ML 52

ML Machine Learning Data Ingestion Deep Learning 52

Pickl AI

APRIL 2, 2024

Here are some cutting-edge applications that can give your business a competitive edge: Natural Language Processing (NLP): Extract insights from text data like customer reviews, social media conversations, and documents. Use it for sentiment analysis, topic modeling, and building chatbots.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

IBM Journey to AI blog

FEBRUARY 9, 2024

The incoming generation of interdisciplinary models, comprising proprietary models like OpenAI’s GPT-4V or Google’s Gemini, as well as open source models like LLaVa, Adept or Qwen-VL, can move freely between natural language processing (NLP) and computer vision tasks.

AI 298

AI AI Generative AI Artificial Intelligence 298